Landslide susceptibility evaluation method based on earth surface deformation and disaster-pregnant environment conditions

A technology of surface deformation and evaluation method, which is applied in computer parts, character and pattern recognition, special data processing applications, etc., and can solve problems affecting the accuracy of landslides, etc.

Pending Publication Date: 2022-03-15
INST OF EXPLORATION TECH OF CHINESE ACAD OF GEOLOGICAL SCI
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Problems solved by technology

However, landslides are a dynamically changing geological phenomenon, and the lack of input of dynamic factors will seriously affect the accuracy of landslide susceptibility evaluation results

Method used

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  • Landslide susceptibility evaluation method based on earth surface deformation and disaster-pregnant environment conditions
  • Landslide susceptibility evaluation method based on earth surface deformation and disaster-pregnant environment conditions
  • Landslide susceptibility evaluation method based on earth surface deformation and disaster-pregnant environment conditions

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Embodiment 1

[0047] The current most commonly used evaluation model of wide-area landslide is mainly a statistical model. Taking the random forest model as an example, the data will be conducive to the landslide of the prediction area by statistically landslide data. Hair. Random Forest (RF) is a combination method for generating a plurality of independent sample sets and multiple classification regression trees to predict the integrated learning method. Its main thinking is that the plurality of weak classifiers have been combined with a certain strategy to form a more superior integrated model than a single classifier prediction performance. Random forest algorithm can handle larger dimension, large data volume, with high generalization ability. Compared with other statistical learning methods, this method is not easy to fit, and the prediction accuracy is improved without obvious improvement. In addition, in the case of data lack and imbalance, the result is robust. It has been widely used ...

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Abstract

The invention discloses a landslide susceptibility evaluation method based on earth surface deformation and disaster-gestational environmental conditions, which utilizes dynamic factors to evaluate landslide susceptibility, and specifically comprises the following steps: acquiring landslide static factors and dynamic factors of a landslide susceptibility evaluation target area; according to the landslide static factor, establishing a random forest model to perform landslide susceptibility evaluation of the target area to obtain a first susceptibility evaluation result; establishing a concatenation matrix of the first susceptibility evaluation result and the dynamic factor to obtain a second susceptibility evaluation result; and comparing and integrating the first susceptibility evaluation result and the second susceptibility evaluation result through a GIS (Geographic Information System). The landslide dynamic factors are added into the landslide susceptibility evaluation model, so that the evaluation result is more accurate.

Description

Technical field [0001] The present invention relates to the field of geological disaster evaluation, and in particular to a landslide-based evaluation method based on surface deformation and pregnancy environmental conditions. Background technique [0002] Landslide is the result of changes in environmental parameters. Under the influence of extreme climate events, the number of landslides in the world has increasingly, causing significant economic and loss. Therefore, landslide is easy to develop is very necessary and can provide a basis for geological disaster risk assessment. [0003] At present, the main methods of geological disasters can be divided into three basic types into experience models, statistical models, and deterministic models. The statistical model overcomes the strong subjectivity of empirical model in empirical model, and avoids the deterministic model. Geological disaster mechanism knowledge and detailed geological environmental data demand, so suitable and ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/20G06K9/62G06F111/08
CPCG06F30/20G06F2111/08G06F18/24323
Inventor 张佳佳黄海陈龙高波李元灵田尤杨东旭
Owner INST OF EXPLORATION TECH OF CHINESE ACAD OF GEOLOGICAL SCI
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